CoolFace
Modelpublic

EMBO/SourceData_NER_v1_0_0_BioLinkBERT_base

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
0likes429downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

SourceDataNERv100BioLinkBERTbase

This model is a fine-tuned version of michiyasunaga/BioLinkBERT-base on the source_data dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1369
  • Accuracy Score: 0.9565
  • Precision: 0.8159
  • Recall: 0.8538
  • F1: 0.8344

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • trainbatchsize: 64
  • evalbatchsize: 128
  • seed: 42
  • optimizer: Use adafactor and the args are: No additional optimizer arguments
  • lrschedulertype: linear
  • num_epochs: 2.0

Training results

Training LossEpochStepValidation LossAccuracy ScorePrecisionRecallF1
0.11381.08640.13570.95350.81850.82970.8241
0.08072.017280.13690.95650.81590.85380.8344

Framework versions

  • Transformers 4.46.3
  • Pytorch 1.13.1+cu117
  • Datasets 3.1.0
  • Tokenizers 0.20.3